Senior Transportation Data Analyst

Overview

Leverage big data, analytics, and modeling to improve transportation planning.

Key Responsibilities

• data modeling
• algorithm development
• big data
• dashboard development
• api integration
• team mentoring

Tasks

-Interpret results, predict future data trends and other data foresights, and propose strategic business solutions -Develop innovative approaches to modify and build new data processes, and build large, complex data sets ensuring data integrity and statistical accuracy. -Working with large spatial and non-spatial datasets, API's, web services, cloud data platforms -Develop and apply customized algorithms or models to key business metrics with the goal of improving operations or answering business questions. Implement automated processes for efficiently producing scalable models -Mine and analyze complex structured/unstructured data sets using highly advanced statistical methods to help with data-driven decision making -Engage in big data-related projects across the multiple services VHB provides to our diverse client base -Train and mentor the data management team and other VHB subject matter experts on new or updated procedures -Design, develop, test, validate, and analyze models and advanced algorithms to extract optimal value from the data -Develop and maintain dashboards and websites that support large databases, facilitate complex search queries, and enhance various business functions leveraging probe data

Requirements

• databricks
• sql
• power bi
• python
• master's
• etl

What You Bring

-Experience with tools and software such as Databricks, SQL, and data visualization platforms such as Power BI. -Minimum of 3+ years of experience with advanced analytics in the engineering/transportation industry specifically providing services to DOTs, transportation agencies and/or state and federal governments -Statistical analysis experience -Prescriptive and predictive analysis for operations, planning, and decision making -Databricks accreditation or certification -Data manipulation skills using various scripting languages like Python or R. -Awareness of industry-specific regulations and data privacy concerns -Proficiency in managing large datasets and understanding data structures. -Demonstrated ability to articulate, both verbally and in written form, complex technical concepts clearly and effectively to both technical and non-technical stakeholders -Applicants must be legally authorized to work for VHB in the U.S. without employer sponsorship -Experience with connected vehicle and cell phone data such as INRIX, RITIS, HERE, and TomTom -Master’s degree in Data Science, Business Analytics, Computer Science, Statistics, Mathematics, or equivalent discipline -Relevant certifications such as CDMP (Certified Data Management Professional) or equivalent -Strong ETL process experience

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Benefits

-Best-in-class benefits, including flexible, hybrid workplace -Focus on learning, development, and career growth -Diverse and inclusive culture of collaboration and innovation -Opportunity to work on complex, transformational projects

About Vhb

-A small civil engineering shop serving local communities. -Evolved into a multidisciplinary firm tackling engineering, planning, design, and environmental challenges. -Known for managing landmark infrastructure projects—from the South Coast Rail bridges to coastal resilience plans. -Blends transportation planning, environmental stewardship, energy solutions, and land development under one roof. -Demonstrated impact beyond design by detecting a critical bridge defect in Providence days before emergency closure. -Remains rooted in civil engineering but shines for its integrated solutions and hands-on role in transformative public infrastructure.

Sector Specialisms

Visa Sponsorship

-applicants must be legally authorized to work in the u.s.; no employer sponsorship provided.